Triple
T10682356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ward |
E251788
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Yaron Orbach |
E863603
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yaron Orbach | Statement: [The Ward, cinematographyBy, Yaron Orbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaron Orbach Context triple: [The Ward, cinematographyBy, Yaron Orbach]
-
A.
Yaron Orbach
chosen
Yaron Orbach is a cinematographer known for his work on feature films and television, including the drama "Brain on Fire."
-
B.
Yoav Kutner
Yoav Kutner is a technology entrepreneur best known as a co-founder of the Magento e-commerce platform and later founder of Varien Inc.
-
C.
Nir Bergman
Nir Bergman is an Israeli film and television director and screenwriter known for his influential work in character-driven dramas.
-
D.
Amir Yaron
Amir Yaron is an Israeli-American economist who serves as the Governor of the Bank of Israel, overseeing the country’s monetary policy and financial stability.
-
E.
Yariv Lerner
Yariv Lerner is a film producer best known for his work on action movies, including serving as a producer on "Rambo: Last Blood."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6fa3f54819081910a2589ddbc99 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:10 p.m.